ABSA论文：
1.Aspect Sentiment Triplet Extraction Using Reinforcement Learning
2.Towards Generative Aspect-Based Sentiment Analysis
3.Position-Aware Tagging for Aspect Sentiment Triplet Extraction
4.Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction
5.Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysis
6.Deep Context- and Relation-Aware Learning for Aspect-based Sentiment Analysis
7.A Unified Generative Framework for Aspect-Based Sentiment Analysis
Relation Extraction论文:
1.A Partition Filter Network for Joint Entity and Relation Extraction
2.A Novel Cascade Binary Tagging Framework for Relational Triple Extraction
3.Contrastive Triple Extraction with Generative Transformer
4.Joint Entity and Relation Extraction with Set Prediction Networks
5.ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning
